Sunnybrook Research Institute

Metrics reloaded: recommendations for image analysis validation

Lena Maier‐Hein, Annika Reinke, Patrick Godau et al.

2024 · 374 Zit.

Understanding metric-related pitfalls in image analysis validation

Annika Reinke, Minu D. Tizabi, Michael Baumgartner et al.

2024 · 165 Zit.

BIAS: Transparent reporting of biomedical image analysis challenges

Lena Maier‐Hein, Annika Reinke, Martel Anne L. et al.

2020 · 124 Zit.

Comparative Evaluation of LLMs in Clinical Oncology

Nicholas R. Rydzewski, Deepak Dinakaran, Shuang G. Zhao et al.

2024 · 93 Zit.

Artificial Intelligence for Hip Fracture Detection and Outcome Prediction

Johnathan R. Lex, Joseph Di Michele, Robert Koucheki et al.

2023 · 93 Zit.

Cognitive Biases and Artificial Intelligence

Jonathan Wang, Donald A. Redelmeier

2024 · 33 Zit.

Development of Prompt Templates for Large Language Model–Driven Screening in Systematic Reviews

Christian Cao, Jason C. Sang, Rohit Arora et al.

2025 · 29 Zit.

Understanding metric-related pitfalls in image analysis validation

Annika Reinke, Minu D. Tizabi, Michael Baumgartner et al.

2023 · 20 Zit.

Improving Resource Utilization for Arthroplasty Care by Leveraging Machine Learning and Optimization: A Systematic Review

Bahar Entezari, Robert Koucheki, Aazad Abbas et al.

2023 · 11 Zit.

Forewarning Artificial Intelligence about Cognitive Biases

Jonathan Wang, Donald A. Redelmeier

2025 · 5 Zit.

AI in Orthopaedic Surgery

David Burns, Aazad Abbas, Jay Toor et al.

2023 · 1 Zit.

Towards Precision Oncology: Enhancing Cancer Screening, Diagnosis and Theragnosis Using Artificial Intelligence

William T. Tran

2022 · 0 Zit.

Outcome Prediction

Buntheng Ly, Mihaela Pop, Hubert Cochet et al.

2023 · 0 Zit.